A new continuous distribution and two new families of distributions based on the exponential

Recent work on social status led to derivation of a new continuous distribution based on the exponential. The new variate, termed the ring(2)-exponential, in turn leads to derivation of two closely related new families of continuous distributions, the mirror-exponential and the ring-exponential. Both the standard exponential and the ring(2)-exponential are special cases of both the new families. In this paper, we first focus on the ring(2)-exponential, describing its derivation and examining its properties, and next introduce the two new families, describing their derivation and initiating exploration of their properties. The mirror-exponential arises naturally in the study of status; the ring-exponential arises from the mathematical structure of the ring(2)-exponential. Both have the potential for broad application in diverse contexts across science and engineering. Within sociobehavioral contexts, the new mirror-exponential may have application to the problem of approximating the form and inequality of the wage distribution.     

Regulation and altruism

We study optimal contracts in a regulator–agent setting with joint production, altruistic and selfish agents, limited liability, and uneasy outcome measurement. Such a setting represents sectors of activities such as education and healthcare provision. The agents and the regulator jointly produce an outcome for which they all care to some extent that is varying from agent to agent. Some agents, the altruistic ones, care more than the regulator does while others, the selfish agents, care less. Moral hazard is present due to both the agent's effort and the joint outcome that are not contractible. Adverse selection is present too since the regulator cannot a priori distinguish between altruistic and selfish agents. Contracts consist of a simple transfer from the regulator to the agents together with the regulator's input in the joint production. We show that, under the conditions of our setting and when we face both moral hazard and adverse selection, the regulator maximizes welfare with a menu of contracts, which specify higher transfers for the altruistic agents and higher regulator's inputs for the selfish agents.     

Understanding the Solar Home price premium: Electricity generation and “Green” social status

This study uses a large sample of homes in the San Diego area and Sacramento, California area to provide some of the first capitalization estimates of the sales value of homes with solar panels relative to comparable homes without solar panels. Although the residential solar home market continues to grow, there is little direct evidence on the market capitalization effect. Using both hedonics and a repeat sales index approach we find that solar panels are capitalized at roughly a 3.5% premium. This premium is larger in communities with a greater share of college graduates and of registered Prius hybrid vehicles.     

The Economics Of Partner Out Trading in Sexual Markets

This paper derives a model of participation in what is commonly known as ‘adultery’. Arguably the best sex survey in the world is used to produce estimates of participation functions. The results show a great deal of support for bioeconomic models and reveal some interesting similarities and differences between the male and female equations. This revised version was published online in July 2006 with corrections to the Cover Date.     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

The effect of commute time on racial earnings inequality: a case study of the Houston metropolitan statistical area

Data from the United States Census confirm a substantial increase in the racial earnings gap between 1980 and 1990. This paper examines data on whites and non-white wage and salary incomes in Houston TX for 1980 and 1990. Data on time travelled to work is used to simulate what would be the impact of shorter commute times on earnings inequality. The central finding is that a reduction in travel time from residence to work would cause a very small reduction in racial earnings and income inequality. This suggests that advances in urban transportation policy alone are not sufficient to solve the problem of racial earnings inequality.     

Prostitution services: an exploratory empirical analysis

This study provides an empirical analysis of the market for some male prostitution services in the UK. Flexible working hours, part-time working, and multiple job holding are considered as important labour market characteristics in this service sector. Statistical models helping explain the provision of a deviant and a more mainstream sexual service is reported, utilizing cross-section data drawn from individual prostitute advertisements. The significance of various declared intrinsic endowments of the prostitutes are examined in relation to the offer of these services, including age, ethnicity, physique, and masculine demeanour.     

What has New Zealand gained from The FTA with China?: Two counterfactual analyses†

We investigate the effects of the 2008 New Zealand (NZ)–China free trade agreement (FTA) on exports from NZ to China, and real GDP per capita in NZ using the synthetic control method to estimate the counterfactuals. NZ exports to China were more than 200% higher in 2014 than what they would have had the FTA never been signed. NZ's food and live animals exports to China were more than 180% higher in 2014 than the counterfactual. Our counterfactuals indicate a small but negative effect of the FTA on NZ's real GDP per capita between 2009 and 2012.     

State appropriations and undergraduate borrowing: more debt,less money

When state appropriations decrease, public universities respond by raising tuition. Students borrow more in response to both tuition increases and appropriation cuts. This article investigates the feedback of how borrowing and tuition influence state appropriations. Using a panel data set of 450 four-year public universities from 1999 to 2012, we employ three-stage least squares techniques to control for the endogeneity between state appropriations, tuition and student borrowing. There is evidence that state policy-makers respond to increases in university tuition and student borrowing by decreasing future appropriation levels. After controlling for the effect of appropriations on tuition and borrowing, a one-dollar increase in student borrowing reduces state appropriations per student by $0.06, and a one-dollar increase in tuition results in a decrease of $0.45 in state appropriations per student. When universities increase tuition for reasons other than a reduction in state appropriations, policy-makers respond with a significant cut in future appropriations which could signal an incentive strategy.     

Environmental proactivity,competitive strategy,and market performance: The mediating role of environmental reputation

This article examines the impact of small and medium-sized enterprises' (SMEs) proactive environmental strategy on market performance through the mediating mechanism of environmental reputation. In addition, we investigate the potential moderating role of competitive strategies on the environmental reputation-market performance nexus. Data were collected from 223 SMEs. Using the hierarchical multiple regression analysis, the results show that a proactive environmental strategy positively enhances environmental reputation. Also, the influence of proactively environmental strategy on market performance is mediated by environmental reputation. In addition, our findings show the relationship between environmental reputation and market performance is greater for firms that adopt the differentiation strategy but not significant for firms adopting the low-cost and integrated strategies. Our study offers several theoretical and practical implications.